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Record W2986734002 · doi:10.1080/02722011.2019.1652195

Why are Canadians Reluctant to Leave Their Province?

2019· article· en· W2986734002 on OpenAlexaffabout
Ludovic Rheault

Bibliographic record

VenueThe American Review of Canadian Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRedistribution (election)IncentiveDemographic economicsPolitical scienceGeographyEconomic growthEconomicsLawMarket economy

Abstract

fetched live from OpenAlex

This article investigates the puzzle of Canadian interprovincial migration. Despite the opportunities afforded by a large country like Canada, the proportion of residents moving to a new province has been in steep decline since the 1970s. A body of literature suggests that federal redistribution explains the limited incentives of residents to move across provinces, by equalizing the quality of services throughout the country. However, most of the available evidence relies on migration trends observed after the fact. This article introduces an original survey asking Canadian respondents squarely whether they have ever considered leaving their province. The findings support the idea that satisfaction with provincial services refrains intra-country migration. Moreover, the results show that views about the federation matter to explain attitudes toward migration. Canadians favorable to centralization, who tend to be younger and more educated, are more likely to consider moving to another province.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0090.004
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.305
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2019
Admission routes2
Has abstractyes

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Same venueThe American Review of Canadian StudiesSame topicMigration and Labor DynamicsFrench-language works237,207